Kyung-Tae Nam
Papers
5
Total Citations
29
H-Index
4
About
Dr. Kyung-Tae Nam is a robotics researcher whose work spans industrial automation, mobile robot navigation, and educational robotics. His primary contributions lie in high-precision calibration and control systems, with a focus on vision-based techniques. His most cited work, "High precision hand-eye self-calibration for industrial robots" (2018, 13 citations), introduces a method that uses a chessboard pattern to accurately calculate the relationship between a robot’s end-effector and camera, enabling robust hand-eye calibration without external sensors. This has direct applications in manufacturing and assembly. Dr. Nam has also advanced multi-actuator systems, as seen in his 2021 paper on inversion-based iterative learning control (IILC) for wafer inspection transport robots (5 citations), which simplifies synchronization in dual-drive dynamics. Earlier, he explored visual servoing for wheeled mobile robots using ceiling-mounted cameras (2007, 5 citations), formulating navigation as an unconstrained optimization problem. Additionally, his work on task planners for u-intelligent educational robots (2009, 4 citations) demonstrates a commitment to bridging the gap between developers and end-users in the education sector. Dr. Nam’s research consistently emphasizes practical, high-accuracy solutions for real-world robotic systems.
Research Focus
Key Achievements
Top Papers
- 1High precision hand-eye self-calibration for industrial robots13 citations · 2018
- 2
- 3
- 4Development of task planner for u-intelligent educational robots4 citations · 2009
- 5